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Hashtag extractor

Pull hashtags and @mentions out of any post or caption and get a clean list.

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Output
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Hashtag extractor
Paste a caption, a thread, an export of posts or any social-media text and this tool lists every #hashtag it contains, one per line. Switch the extract option to mentions to collect @handles instead, or to both to get tags and handles together in the order they appear. It is the quick way to recycle a tag set from an old post, audit which tags a competitor leans on, or turn a month of captions into a reusable tag library.
Duplicates are removed by default and compared without regard to case, so #WebDev and #webdev collapse into one entry that keeps the casing you wrote first. Turn on count occurrences and each item gets an × N suffix showing how often it appears — combined with sort alphabetically this doubles as a small frequency report. Keep # / @ prefix controls whether the output is paste-ready for a new post or a bare word list for a spreadsheet.
The matching is deliberately strict. A hashtag is a # followed by letters, digits or underscores, with full Unicode support, so #kaffee, #čaj and #żółć all count. A # glued to the middle of a word does not, and #fragments inside URLs are ignored, so links never pollute the tag list. Mentions accept dots inside handles and drop sentence punctuation from the end, and email addresses are never mistaken for mentions.
Everything runs locally in your browser — drafts, client captions and scheduled posts never leave your device.
FAQ
What counts as a hashtag?
A # followed by letters, digits or underscores. Unicode letters count, so #čaj and #kaffee work, but the tag stops at the first emoji or punctuation mark. A # stuck to the middle of a word (a#b) and #fragments inside links like example.com/page#top are ignored.
Why is an email address not listed as a mention?
A mention only counts when the @ is not glued to the end of a word. In [email protected] the @ follows "jana", so it reads as an email, not a handle. A standalone @jana is extracted normally.
How are duplicates compared?
Without regard to case: #WebDev, #webdev and #WEBDEV are the same tag. The list keeps the casing of the first occurrence, and count occurrences shows the total across all casings.
What does count occurrences show when duplicates are kept?
Every listed item shows the total for that tag in the whole text, so a tag that appears three times is listed three times with × 3 each. Turn on remove duplicates for a classic frequency list.
Is my text uploaded anywhere?
No. The extraction runs entirely in your browser and your text never leaves your device.